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experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction, or decision-making in autonomous driving or robotic
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heterogeneous multi-omics datasets. Integrative Data Analysis: Perform and lead analysis of large-scale multi-omics datasets, including RNA/DNA sequencing, methylation, and metabolomics. Method Development
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, particularly those affected by REM sleep behavior disorder (RBD), a high-risk group for developing PD. Using cutting-edge technologies including iPSC-based dopaminergic neuron modeling, single-cell
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educational sciences. People from across 20 disciplines are working within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's
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The Medical Team of the faculty is in a constant development. Our research initiative, in collaboration with clinical partners, is thriving as we explore the effects of fasting and caloric
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del Sol, which develops computational models to address challenges in stem cell research, aging and disease modeling. The group employs methodologies from different areas of mathematics, engineering
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the Department of Social Sciences (DSOC). The CCY is a multidisciplinary group investigating youth development and social inequalities, with strong connections to national and international research institutes and
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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, generating synthetic training datasets and extracting robust features for SIGINT and spectrum‑monitoring pipelines Develop and integrate TDOA/FDOA‑based geolocation methods into RF situational‑awareness
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to: Develop mechanistic and data-driven models to analyse concentration–response relationships and biological readouts from advanced in vitro assays Apply statistical and computational methods to quantify